Qualification: Cryptographic Governance for Autonomous AI Agents in Decentralized Systems: A Policy-Enforced Identity and Accountability Framework
Justin Malonson independently identifies an authorization-and-accountability gap for autonomous AI agents: existing models provide limited means to constrain delegated authority, prove policy compliance, and attribute machine-initiated actions. This qualifies Kaal's source-bound warning that infrastructure-level permissioning does not by itself bridge AI autonomy and accountability. The external abstract supports the general limitation but does not independently establish Kaal's specific claims about smart-contract exploits, permission conflicts, or absent real-time enforcement across distributed nodes.
Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.
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Topics
smart-contractscompliancehistorical-responsescholarly-literaturecrossref
Provenance
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